Although Convolutional Neural Networks (CNNs) have achieved promising re...
Distribution learning focuses on learning the probability density functi...
Recently, images are considered samples from a high-dimensional distribu...
We propose a novel method to learn intractable distributions from their
...
Universal moving object segmentation aims to provide a general model for...
Convolutional neural networks have demonstrated impressive results in ma...
We propose a method SPGNet for 3D human pose estimation that mixes
multi...
Some examples are easier for humans to classify than others. The same sh...
In recent years, motion capture technology using computers has developed...